Exploratory Science
Our researchers seek to answer some of the most fundamental questions. We strive for a greater understanding of how our world works and how we can harness that knowledge to advance science, mathematics, and computation.
Our work
Mitigating the environmental harm of PFAS ‘forever chemicals’
NewsKim Martineau- Accelerated Discovery
- AI
- Exploratory Science
- Foundation Models
- Generative AI
- Natural Language Processing
A single-molecule magnetic switch
Technical noteShantanu Mishra- Exploratory Science
Boosting light emission from nanocrystals
Technical noteThilo Stöferle- Exploratory Science
Resolving the first anti-aromatic carbon allotrope
Technical noteLeo Gross- Materials Discovery
- Physical Sciences
AI transformers shed light on the brain’s mysterious astrocytes
ResearchKim Martineau- AI
- Foundation Models
- Life Sciences
- Machine Learning
- Natural Language Processing
- Science
IBM’s Stacy Hobson wants to build tech that works for everyone
ResearchKim Martineau- AI
- Fairness, Accountability, Transparency
- Human-Centered AI
- Responsible Technology
- See more of our work on Exploratory Science
Topics
- Computer ScienceWe’re working on automation, information processing, and computation research to complement and extend human performance and advance society.
- Mathematical SciencesWe’re focused on foundational mathematical research with the aim of delivering tools to that are fundamental to big data and AI.
- Physical SciencesWe’re using physics to improve AI algorithms and interpretability, as well as novel materials for new computational platforms.
- Responsible TechnologyTechnology impacts every aspect of our work and lives. It is imperative that technology is built responsibly to reduce differential effects on various populations. At IBM Research, we are working to ensure that the technologies we create promote beneficial outcomes for our clients and for the world.
Publications
- 2024
- CHI 2024
- Vagner Figueredo De Santana
- Lauren Quigley
- et al.
- 2024
- CHI 2024
- Adriana Alvarado Garcia
- Marisol Wong-Villacres
- et al.
- 2024
- CHI 2024
- Smit Desai
- Christina Wei
- et al.
- 2024
- CHI 2024
- Lily W. Ge
- Maryam Hedayati
- et al.
- 2024
- CHI 2024
- Taku Ito
- Soham Dan
- et al.
- 2024
- ICLR 2024